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an interdisciplinary environment, very good communication skills in English; willingness to acquire German language skills is expected and will be encouraged Desirable skills PhD in biodiversity informatics
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., KonsortSWD, NFDI), including working groups and collaborative initiatives. Your profile Completed PhD (or near completion) in a relevant field such as economics, statistics, data science, informatics, or
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Description Within the Collaborative Research Center “Wave phenomena – analysis and numerics” (CRC 1173) we are currently seeking to recruit, as soon as possible, a Doctoral Researcher (f/m/d – 75 %) in Mathematics for the project “Quantized vortices and nonlinear waves” The CRC has been funded...
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute
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are seeking two excellent and enthusiastic PhD students with a strong interest in microbiome research. The specific focus of the PhD projects will be tailored to the candidate’s interests and will align with
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Forschungsgemeinschaft and the consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking two excellent and enthusiastic PhD students with a strong interest in microbiome research
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27.06.2025 Application deadline: 13.08.2025 The following position is available at the Paleoanthropology Section of the Faculty of Science beginning November 1st 2025 or shortly after. PhD
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27.06.2025 Application deadline: 13.08.2025 The following position is available at the Department of Linguistics of the Faculty of Humanities beginning November 1st 2025 or shortly after. PhD
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Dresden, TU Berlin and TU Braunschweig) and the German Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates over the next years. The following main research goals
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission